Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError Exception: ArrowInvalid Message: Schema at index 2 was different: chunk_grid: struct<configuration: struct<chunk_shape: list<item: int64>>, name: string> chunk_key_encoding: struct<name: string> codecs: list<item: struct<configuration: struct<chunk_shape: list<item: int64>, codecs: list<item: struct<configuration: struct<endian: string, blocksize: int64, clevel: int64, cname: string, shuffle: string, typesize: int64>, name: string>>, index_codecs: list<item: struct<configuration: struct<endian: string>, name: string>>>, name: string>> data_type: string fill_value: int64 node_type: string shape: list<item: int64> zarr_format: int64 vs total_num_rows: int64 shard_rows: struct<0: int64> is_finished: bool finished_shards: list<item: string> field_counts: struct<> metadata: struct<preprocessor_metadata: struct<tokenizer: string, vocab_size: int64, return_attention_mask: bool, padding: bool, max_length: double, append_bos: bool, append_eos: bool>> Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head return next(iter(self.iter(batch_size=n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter for key, example in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow yield from self.ex_iterable._iter_arrow() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow yield new_key, pa.Table.from_batches(chunks_buffer) File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Schema at index 2 was different: chunk_grid: struct<configuration: struct<chunk_shape: list<item: int64>>, name: string> chunk_key_encoding: struct<name: string> codecs: list<item: struct<configuration: struct<chunk_shape: list<item: int64>, codecs: list<item: struct<configuration: struct<endian: string, blocksize: int64, clevel: int64, cname: string, shuffle: string, typesize: int64>, name: string>>, index_codecs: list<item: struct<configuration: struct<endian: string>, name: string>>>, name: string>> data_type: string fill_value: int64 node_type: string shape: list<item: int64> zarr_format: int64 vs total_num_rows: int64 shard_rows: struct<0: int64> is_finished: bool finished_shards: list<item: string> field_counts: struct<> metadata: struct<preprocessor_metadata: struct<tokenizer: string, vocab_size: int64, return_attention_mask: bool, padding: bool, max_length: double, append_bos: bool, append_eos: bool>>
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